This is a renewal application of 1R01CA126858, the parent grant titled """"""""Geospatial Factors and Impacts: Measurement and Use."""""""" Geographic disparities in breast cancer (BC) and colorectal cancer (CRC) prevention and outcomes have existed for decades. Their persistence may indicate inefficient use of healthcare resources in national and local efforts concerning cancer control prevention due to factors that differ between geographic areas. However, outside of our own work, spatial analytic methods have rarely been used in the past to combat these disparities. In the parent grant we enhanced software to analyze spatial data, made it widely available (to date used by 62,500 researchers), applied it to limited data sets, and demonstrated the impact of ignoring spatial effects in the analyses. In this new application, we will extend the existing software to incorporate new spatial analytic methods addressing two particular problems that were beyond the scope of the parent grant. We will make the new enhanced software widely available, and use newly available data to conduct comprehensive analyses. The results will provide actionable information to health planners that will improve the ability to reduce disparities in BC and CRC prevention and outcomes (i.e., cancer stage at time of cancer diagnosis), by using targeted interventions to identified populations in specific places. Using the enhanced software, we will apply the new methodological capabilities to estimate spatial relationships in the newly available national comprehensive cancer registry data, which cover all areas of the United States. These combined National Program of Cancer Registry/Surveillance Epidemiology and End Results (NPCR/SEER) registry data are restricted, person-level data (including cancer stage) available for approved projects inside the RDCs. We will conduct complex geospatial-multilevel analysis of U.S. BC and CRC populations, linking persons with cancer to their county, state, and regional characteristics. The new methods will allow for the proper incorporation of both spatial heterogeneity and spatial dependence in modeling the complex multilevel factors influencing disparities in cancer prevention and stage at diagnosis.
In this project we will develop, apply, and disseminate the most scientifically rigorous approach to solving the nagging problem of persistent disparities. Although spatial analytic methodologies have existed for some time, application of these methods in comprehensive cancer control activities has been hindered by the lack of spatially explicit, fine-grained data regarding population health outcomes and behaviors and the lack of software to estimate large population science problems with spatial effects. New comprehensive cancer registry data used together with our proposed advances in spatial analytic software will enable population science analyses addressing the effective use of limited health care resources.
|Scott, Lia; Mobley, Lee R; Il'yasova, Dora (2017) Geospatial Analysis of Inflammatory Breast Cancer and Associated Community Characteristics in the United States. Int J Environ Res Public Health 14:|
|Mobley, Lee R; Scott, Lia; Rutherford, Yamisha et al. (2017) Using residential segregation to predict colorectal cancer stage at diagnosis: two different approaches. Ann Epidemiol 27:10-19|
|Mobley, Lee R; Kuo, Tzy-Mey; Scott, Lia et al. (2017) Modeling Geospatial Patterns of Late-Stage Diagnosis of Breast Cancer in the US. Int J Environ Res Public Health 14:|
|Mobley, Lee R; Kuo, Tzy-Mey (2017) Demographic Disparities in Late-Stage Diagnosis of Breast and Colorectal Cancers Across the USA. J Racial Ethn Health Disparities 4:201-212|
|Folch, David C; Arribas-Bel, Daniel; Koschinsky, Julia et al. (2016) Spatial Variation in the Quality of American Community Survey Estimates. Demography 53:1535-1554|
|Mobley, Lee R; Kuo, Tzy-Mey May (2015) Geographic and Demographic Disparities in Late-stage Breast and Colorectal Cancer Diagnoses Across the US. AIMS Public Health 2:583-600|
|Mobley, Lee R; Kuo, Tzy-Mey (2015) United States Health Policies and Late-stage Breast and colorectal cancer diagnosis: Why such disparities by age? Health Econ Rev 5:58|
|Mobley, Lee R; Kuo, Tzy-Mey; Traczynski, Jeffrey et al. (2014) Macro-level factors impacting geographic disparities in cancer screening. Health Econ Rev 4:13|
|Mobley, Lee R; Kuo, Tzy-Mey; Urato, Matthew et al. (2012) Spatial Heterogeneity in Cancer Control Planning and Cancer Screening Behavior. Ann Assoc Am Geogr 102:1113-1124|
|Mobley, Lee R; Kuo, Tzy-Mey May; Watson, Lisa et al. (2012) Geographic disparities in late-stage cancer diagnosis: multilevel factors and spatial interactions. Health Place 18:978-90|
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